Lunit vs Oatmeal Health (2026)

AI Health Index verifiedAugust 4, 2026
Verdict

Both work lung cancer screening and only one of them reads the image. Lunit builds the detection capability across chest radiograph and mammography, with a deep evidence base in screening populations and regulatory footprints in several markets. Oatmeal builds the programme, running lung cancer screening in federally qualified health centres where the eligible population is large, capacity is thin and the failure is almost never identification but navigation and follow through. A safety net organisation trying to move its screening rate needs both, and buying only the algorithm will not move it at all. Ask any screening programme for its rates by race and insurance status, because an intervention that lifts the average while widening the gap has not helped.

The case for Lunit
  • Cancer detection across chest radiograph and mammography is the portfolio, with a listed parent and regulatory footprints in multiple markets.
  • The evidence base in screening populations is deeper than most detection vendors, which is the setting where both sensitivity and specificity bite.
  • For a screening programme, a vendor built around cancer detection is a closer fit than a general findings reader.
The case for Oatmeal Health
  • It targets lung cancer screening in federally qualified health centres, where uptake is lowest and the eligible population is largest relative to capacity.
  • Screening in that setting fails on navigation and follow through rather than identification, and the product is built around that reality.
  • Focusing on one cancer in one setting makes the economics legible in a way a multi condition programme is not.

This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. Lunit and Oatmeal Health are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI Health Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded

At a Glance

Plain facts

Fact Lunit Oatmeal Health
Primary category Radiology & Imaging AI Value Based Care Intelligence
Founded 2013 2022
Headquarters Seoul, South Korea San Jose, California, United States
Website lunit.io oatmealhealth.com
Attribute Matrix

Side by Side

Axis
L
Lunit
O
Oatmeal Health
AI Centrality
Autonomy and Oversight Model
Model and Technology Transparency
Model Supply Chain Disclosure
Clinical and Operational Evidence
AI Safety and PHI Stewardship
HIPAA and BAA Posture
Security Certifications and Trust Center
FDA and Regulatory Status
AI Governance and Bias Disclosure
AI Liability and Recourse
EHR and Interoperability Depth
Deployment Model and Data Residency
Commercial Transparency
Setting and Specialty Coverage
Citable Summaries

Each record in one paragraph

Written to be quoted whole. Each paragraph states what the AI Health Index verified about the vendor, with the caveats attached. Generated from this pair’s live capability grades, so it moves when a grade moves.

Lunit

The AI Health Index awards Lunit its top capability grade on several axes, including AI Centrality, Model and Technology Transparency and Clinical and Operational Evidence. Set against Oatmeal Health, Lunit grades higher on several axes, including AI Centrality, Autonomy and Oversight Model and Model and Technology Transparency. Its thinnest published disclosure sits on Model Supply Chain Disclosure. Grades reflect evidence the AI Health Index could verify at the last review, so a low grade records disclosure the vendor has not published rather than a capability it has been shown to lack.

Source: AI Health Index, August 2026

Oatmeal Health

The AI Health Index records no top capability grade for Oatmeal Health on any axis it scores. Set against Lunit, Oatmeal Health does not grade higher on any scored axis, though the two are level on several axes, including Model Supply Chain Disclosure, AI Safety and PHI Stewardship and EHR and Interoperability Depth. Its thinnest published disclosure sits on several axes, including Model Supply Chain Disclosure, Clinical and Operational Evidence and HIPAA and BAA Posture. Grades reflect evidence the AI Health Index could verify at the last review, so a low grade records disclosure the vendor has not published rather than a capability it has been shown to lack.

Source: AI Health Index, August 2026

FAQ

Questions buyers ask

Should we choose Lunit or Oatmeal Health?

The AI Health Index grades Lunit higher than Oatmeal Health on every axis that separates them, several axes, including AI Centrality, Autonomy and Oversight Model and Model and Technology Transparency. Oatmeal Health does not grade higher on any scored axis.

Where do Lunit and Oatmeal Health differ most?

The widest separation the AI Health Index records between Lunit and Oatmeal Health is on Clinical and Operational Evidence, where Lunit grades A and Oatmeal Health grades D. That axis sits in the AI Capability group, so it should carry the most weight for a buyer whose binding constraint is how much of the work the model itself is trusted to do.

Where do Lunit and Oatmeal Health grade the same?

The AI Health Index grades Lunit and Oatmeal Health the same on several axes, including Model Supply Chain Disclosure, AI Safety and PHI Stewardship and EHR and Interoperability Depth. Neither holds an advantage the index can evidence on those axes, so they should not carry weight in a selection between these two.

What have Lunit and Oatmeal Health not disclosed?

At the last review, at least one of Lunit and Oatmeal Health published thin or absent detail on several axes, including Model Supply Chain Disclosure, Clinical and Operational Evidence and HIPAA and BAA Posture. The AI Health Index treats an absent disclosure as a gap in the public record rather than a failure of the product, so these are the axes to get in writing during diligence instead of inferring from the grade.

Keep Comparing

Related comparisons

Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Clinical Decision Support page.

Disclosure

These are complementary rather than competing: one supplies the reading capability and the other supplies the programme around it, and a safety net organisation needs both to move a screening rate. Lung cancer screening carries a documented equity gap in both eligibility criteria and uptake, so any programme should report screening and follow through rates by race and insurance status rather than in aggregate, since an intervention that lifts the average while widening the gap has not helped the people it was sold to reach. Neither publishes pricing.